bug fix loss

layers/losses.py

@@ -44,10 +44,11 @@ class L1LossMasked(nn.Module):
         # target_flat: (batch * max_len, dim)
         target_flat = target.view(-1, target.shape[-1])
         # losses_flat: (batch * max_len, dim)
-        losses_flat = functional.l1_loss(input, target, size_average=False,
+        losses_flat = functional.l1_loss(input, target_flat, size_average=False,
                                          reduce=False)
         # losses: (batch, max_len, dim)
         losses = losses_flat.view(*target.size())
+        
         # mask: (batch, max_len, 1)
         mask = _sequence_mask(sequence_length=length,
                               max_len=target.size(1)).unsqueeze(2)